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Xinlei He

22 papers hereh-index 10158 citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author9
  • last author13

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CR9
  • cs.CL4
  • cs.CV4
  • cs.AI2
  • cs.CY1
  • cs.LG1
same name
  • Xinlei He — 30 papers, h 21
  • Xinlei He — 12 papers, h 4
  • Xinlei He — 11 papers, h 7
  • Xinlei He — 2 papers, h 1
  • Xinlei He — 2 papers, h 2
  • Xinlei He — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities

1 citations · 2 across the 20 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

6DAttack: Backdoor Attacks in the 6DoF Pose Estimation

Jihui Guo, Zongmin Zhang, Zhen Sun +4

Deep learning advances have enabled accurate six-degree-of-freedom (6DoF) object pose estimation, widely used in robotics, AR/VR, and autonomous systems. However, backdoor attacks…

cs.CV2025

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation

Zhiyuan Zhong, Zhen Sun, Yepang Liu +2

Vision Language Models (VLMs) have shown remarkable performance, but are also vulnerable to backdoor attacks whereby the adversary can manipulate the model's outputs through hidden…

cs.CV2025

"I Can See Forever!": Evaluating Real-time VideoLLMs for Assisting Individuals with Visual Impairments

Ziyi Zhang, Zhen Sun, Zongmin Zhang +6

The visually impaired population faces significant challenges in daily activities. While prior works employ vision language models for assistance, most focus on static content and…

cs.CV2025

FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts

Ziyi Zhang, Zhen Sun, Zongmin Zhang +2

Multimodal Large Language Models (MLLMs) have become powerful and widely adopted in some practical applications. However, recent research has revealed their vulnerability to multim…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.